Mingxing Tan

papers

10,338

total citations

papers (18)

MobileDets: Searching for Object Detection Architectures for Mobile Accelerators

CVPR 2021arXiv

150

citations

Robust and Accurate Object Detection via Adversarial Learning

CVPR 2021arXiv

citations

Search to Distill: Pearls Are Everywhere but Not the Eyes

CVPR 2020arXiv

citations

Searching for Fast Model Families on Datacenter Accelerators

CVPR 2021arXiv

citations

PyGlove: Symbolic Programming for Automated Machine Learning

NEURIPS 2020arXiv

citations

PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds

ECCV 2022arXiv

citations

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Model with Spatio-Temporal Visual Representation

CVPR 2025

citations

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model

CVPR 2025arXiv

citations

LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds

ECCV 2022arXiv

citations

SceneCrafter: Controllable Multi-View Driving Scene Editing

CVPR 2025arXiv

citations

Mingxing Tan

papers (18)

EfficientDet: Scalable and Efficient Object Detection

CoAtNet: Marrying Convolution and Attention for All Data Sizes

Adversarial Examples Improve Image Recognition

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection

BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models

MoViNets: Mobile Video Networks for Efficient Video Recognition

SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization

SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds

MobileDets: Searching for Object Detection Architectures for Mobile Accelerators

Robust and Accurate Object Detection via Adversarial Learning

Search to Distill: Pearls Are Everywhere but Not the Eyes

Searching for Fast Model Families on Datacenter Accelerators

PyGlove: Symbolic Programming for Automated Machine Learning

PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Model with Spatio-Temporal Visual Representation

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model

LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds

SceneCrafter: Controllable Multi-View Driving Scene Editing

papers (18)

EfficientDet: Scalable and Efficient Object Detection

CoAtNet: Marrying Convolution and Attention for All Data Sizes

Adversarial Examples Improve Image Recognition

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection

BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models

MoViNets: Mobile Video Networks for Efficient Video Recognition

SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization

SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds

MobileDets: Searching for Object Detection Architectures for Mobile Accelerators

Robust and Accurate Object Detection via Adversarial Learning

Search to Distill: Pearls Are Everywhere but Not the Eyes

Searching for Fast Model Families on Datacenter Accelerators

PyGlove: Symbolic Programming for Automated Machine Learning

PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Model with Spatio-Temporal Visual Representation

SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model

LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds

SceneCrafter: Controllable Multi-View Driving Scene Editing